This course enables candidates to learn Neural Networks, Artificial Neural Networks, Convulutional Neural Netwroks, Recurrent Neural Networks, Perceptrons and its types,Propagation types - Forward and Backward, Gradient Descent Algorithm, LSTM Algorithm, seven different types of Activation Function, Loss Function, Cost Function, Projects, Assignments, Real World Use Cases,Deep Learning Packages like PyTorch, Tensorflow, keras will be discussed in detail.
In order to increase accuracy we will deal with Hyperparameter Tuning.
Moreoverr Regularization Techniques, Optimization Algorithms and Model Development will also be delivered in detail
More importantly will teach you how to deploy couple of projects in a free cloud environment.
Total hands-on will be shared across all the classes.
Will extend suitable datasets from various domains for submission of capstone projects from your end.
Regular practise from your end is highly appreciated.
More than 15 end to end projects from different domains will be taught in the class.
Doubts will be cleared then and there as it will be a live interactive session throughout.
Happy Learning and welcoming to join this detailed training and excel in your career.